As the title says, the post-season odds report was compiled by running a Monte
Carlo simulation of the rest of the season one million times. Current wins,
losses and expected winning percentages are taken from the Adjusted
Standings Report.

Expected winning percentages (EWP) is being driven entirely by the projections
of player performance on our depth charts. The performances of every player on
a team are combined to derive total team runs scored and allowed, which are
averaged and normalized on a league basis, and used to calculate a won/lost
record.
The disadvantage of this approach is that the team's rating is entirely based
on a projection of player performance. The advantage is that it can
immediately respond to changes in the team's lineup, due to injury or trade.
However, we still allow for uncertainty in the EWP by sampling a normal
distribution centered on the EWP for each "seasonal" run. To simulate the
normal 4% home-field advantage, the home team gets a .020 point bonus, while
the visitors take a 0.020 penalty. The likelihood of winning each game is
determined by the log5 method.

W and L are the team's wins and losses through yesterday's games.

Pct3 is the expected winning percentage, taken from W3 and L3, with the
regression-to-mean component.

Avg W and Avg L are the average number of wins and losses each team finishes over the million season iterations.

Champions is how often, in percentage terms, this team won the
championship of their division. Ties are not broken, but credited as 0.5
championships apiece (for a two-way tie), .333 apiece for a three-way tie, .25
for four-way, etc. This is why the final decimal place is not an error!

Wild Card is how often, in percentage terms, this team won the wild card. As
with championships, ties are not broken, but apportioned among the tied teams.

Playoffs is how often, in percentage terms, the team either wins the division or the wild card.